Philippe Vieu

8.1k total citations · 1 hit paper
120 papers, 5.6k citations indexed

About

Philippe Vieu is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Philippe Vieu has authored 120 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Statistics and Probability, 32 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Philippe Vieu's work include Statistical Methods and Inference (96 papers), Advanced Statistical Methods and Models (51 papers) and Bayesian Methods and Mixture Models (24 papers). Philippe Vieu is often cited by papers focused on Statistical Methods and Inference (96 papers), Advanced Statistical Methods and Models (51 papers) and Bayesian Methods and Mixture Models (24 papers). Philippe Vieu collaborates with scholars based in France, Spain and China. Philippe Vieu's co-authors include Frédéric Ferraty, Germán Aneiros, Aldo Goia, Ali Laksaci, Nengxiang Ling, Mustapha Rachdi, Jeffrey D. Hart, Wolfgang Karl Härdle, Wenceslao González–Manteiga and André Mas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Philippe Vieu

116 papers receiving 5.4k citations

Hit Papers

Nonparametric functional data analysis : theory and practice 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonparametric functional data analysis : theory and practice
    2006 671 citations Frédéric Ferraty, Philippe Vieu CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe Vieu France 39 4.2k 1.9k 721 657 408 120 5.6k
Frédéric Ferraty France 32 3.3k 0.8× 1.5k 0.8× 545 0.8× 421 0.6× 288 0.7× 59 4.3k
Peter Hall Australia 36 3.1k 0.7× 1.2k 0.6× 366 0.5× 397 0.6× 361 0.9× 108 4.6k
R. Douglas Martin United States 23 2.2k 0.5× 1.4k 0.8× 767 1.1× 449 0.7× 543 1.3× 77 5.3k
Irène Gijbels Belgium 33 3.5k 0.8× 943 0.5× 546 0.8× 948 1.4× 668 1.6× 160 5.4k
R. L. Eubank United States 28 2.4k 0.6× 695 0.4× 510 0.7× 353 0.5× 418 1.0× 84 4.1k
Ricardo A. Maronna Argentina 23 2.8k 0.7× 727 0.4× 406 0.6× 268 0.4× 358 0.9× 61 4.7k
Cun‐Hui Zhang United States 28 2.9k 0.7× 1.2k 0.6× 408 0.6× 210 0.3× 331 0.8× 111 5.4k
Muni S. Srivastava Canada 33 2.6k 0.6× 943 0.5× 207 0.3× 232 0.4× 383 0.9× 164 4.4k
Jinchi Lv United States 17 2.3k 0.6× 1.1k 0.6× 257 0.4× 327 0.5× 283 0.7× 42 3.9k
Howell Tong United Kingdom 31 1.7k 0.4× 734 0.4× 567 0.8× 1.6k 2.5× 467 1.1× 132 5.2k

Countries citing papers authored by Philippe Vieu

Since Specialization
Citations

This map shows the geographic impact of Philippe Vieu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philippe Vieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Vieu more than expected).

Fields of papers citing papers by Philippe Vieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Vieu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philippe Vieu. The network helps show where Philippe Vieu may publish in the future.

Co-authorship network of co-authors of Philippe Vieu

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Vieu. A scholar is included among the top collaborators of Philippe Vieu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Vieu. Philippe Vieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ling, Nengxiang, et al.. (2023). Partially functional linear quantile regression model and variable selection with censoring indicators MAR. Journal of Multivariate Analysis. 197. 105189–105189. 4 indexed citations
2.
Rachdi, Mustapha, et al.. (2022). High-Dimensional Statistics: Non-Parametric Generalized Functional Partially Linear Single-Index Model. Mathematics. 10(15). 2704–2704.
3.
Rachdi, Mustapha, et al.. (2021). Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF). SHILAP Revista de lepidopterología. 4(4). 793–813. 2 indexed citations
4.
Aneiros, Germán, et al.. (2021). Variable selection in functional regression models: A review. Journal of Multivariate Analysis. 188. 104871–104871. 17 indexed citations
5.
Aneiros, Germán, et al.. (2021). On functional data analysis and related topics. Journal of Multivariate Analysis. 189. 104861–104861. 20 indexed citations
6.
Aneiros, Germán, et al.. (2019). Fast Algorithm for Impact Point Selection in Semiparametric Functional Models. SHILAP Revista de lepidopterología. 14–14. 1 indexed citations
7.
Aneiros, Germán, Ricardo Cao, Ricardo Fraiman, & Philippe Vieu. (2018). Editorial for the Special Issue on Functional Data Analysis and Related Topics. Journal of Multivariate Analysis. 170. 1–2. 18 indexed citations
8.
Aneiros, Germán, Ricardo Cao, Ricardo Fraiman, Christian Genest, & Philippe Vieu. (2018). Recent advances in functional data analysis and high-dimensional statistics. Journal of Multivariate Analysis. 170. 3–9. 107 indexed citations
9.
Goia, Aldo, et al.. (2018). Evaluating the complexity of some families of functional data. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 42(1). 27–44. 4 indexed citations
10.
Aneiros, Germán, et al.. (2017). Bootstrap in semi-functional partial linear regression under dependence. Test. 27(3). 659–679. 12 indexed citations
11.
Laksaci, Ali, et al.. (2016). Data-driven kNN estimation in nonparametric functional data analysis. Journal of Multivariate Analysis. 153. 176–188. 58 indexed citations
12.
Sperlich, Stefan, et al.. (2012). A Practical Test for Misspecication in Regression: Functional Form, Separability, and Distribution. 2 indexed citations
13.
Ferraty, Frédéric, Ingrid Van Keilegom, & Philippe Vieu. (2012). Regression when both response and predictor are functions. Journal of Multivariate Analysis. 109. 10–28. 68 indexed citations
14.
Ferraty, Frédéric, et al.. (2010). Structural test in regression on functional variables. Journal of Multivariate Analysis. 102(3). 422–447. 28 indexed citations
15.
Ferraty, Frédéric, et al.. (2008). Cross-validated estimations in the single-functional index model. Statistics. 42(6). 475–494. 94 indexed citations
16.
Ferraty, Frédéric & Philippe Vieu. (2006). Nonparametric functional data analysis : theory and practice. CERN Document Server (European Organization for Nuclear Research). 671 indexed citations breakdown →
17.
Rachdi, Mustapha & Philippe Vieu. (2005). Sélection automatique du paramètre de lissage pour l'estimation non paramétrique de la régression pour des données fonctionnelles. Comptes Rendus Mathématique. 341(6). 365–368. 3 indexed citations
18.
Ferraty, Frédéric & Philippe Vieu. (2004). Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination. Journal of nonparametric statistics. 16(1-2). 111–125. 121 indexed citations
19.
Couallier, Vincent, P. Sardà, & Philippe Vieu. (1997). Estimation non paramétrique de discontinuités d'une fonction d'intensité. French digital mathematics library (Numdam). 45(3). 89–106. 1 indexed citations
20.
Sarda, Pascal, et al.. (1986). Approche non paramétrique en théorie de la fiabilité : revue bibliographique. SPIRE - Sciences Po Institutional REpository. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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